FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
VERSION 2003, RELEASED NOVEMBER, 2002.

TITLE: FDOT ROAD CHARACTERISTIC INVENTORY-INSIDE SHOULDERS

Geodataset Name:      INSHOU
Geodataset Type:      SHAPE
Geodataset Feature:   LINE

GENERAL DESCRIPTION:

This dataset contains inside shoulder locations on the FDOT Roads. 
(Refer to the Data Lineage Section of this document for information 
on using the FDOT RCI database and dynamic segmentation.)
DATA SOURCE(S):                   Florida Department of Transportation, 
                                  Roadway Characteristic Database (RCI)
SCALE OF ORIGINAL SOURCE MAPS:    1:24,000
DATE OF AUTOMATION OR SOURCE:     October 2001
GEODATASET EXTENT:                State of Florida
FEATURE ATTRIBUTE TABLES:
Datafile Name: INSHOU.DBF

ITEM NAME    WIDTH   TYPE   PRECISION

SHAPE          9    SHAPELINE   0
ROADWAY        8    CHARACTER   0
ROAD_SIDE      1    CHARACTER   0
BEGIN_POST     8    DECIMAL     3
END_POST       8    DECIMAL     3
ISLD_ORDER     1    CHARACTER   0
ROAD_SHLD      1    CHARACTER   0
DESCRIPT      30    CHARACTER   0

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

ITEM                     ITEM DESCRIPTION 
SHAPE            Data attribute inherent to the ESRI shapefile format,
                 which defines the data as a point, polyline, or polygon.

ROADWAY          RCI Unique Identifier
ROAD_SIDE        Road side type

BEGIN_POST       Begin mile post (XXX.XX)

END_POST         End mile post (XXX.XX)

ISLD_ORDER       Inside shoulder order

ROAD_SHLD        Inside shoulder type

DESCRIPT         Description of roadways

USER NOTES:

The Florida Department of Transportation (FDOT), Transportation Statistics Office 
(TranStat) maintains traffic and roadway data in an Oracle database called Traffic 
and Roadway Information Systems (TRIS). The TranStat database contains 
transportation information relating to traffic count statistics and roadway 
features and characteristics for the purpose of state transportation planning and 
development. 

The TRIS database uses the Oracle relational database management system (RDBMS), 
the Structured Query Language (SQL), and Pro*C to create, manipulate, maintain, and 
access data. The data is stored in files called tables, where the tables are 
organized into rows and columns. Each row in a table is a record, and each column 
in a table represents a property of the object the table represents. Relational 
databases can then link tables together based on common properties. TRIS is 
composed of two main databases: Roadway Information System (RIS) and Traffic 
Information System (TIS).

The Roadway Information System (RIS) is a collection of tables containing 
information necessary to uniquely identify a roadway segment and describe its 
features and characteristics. Traffic Information System (TIS) is a collection of 
tables containing information relating to traffic surveying, monitoring, and 
statistics. The data from the TIS and RIS databases are relatable to the arcs of 
the DOTRCI spatial dataset through a Dynamic Segmentation data model. 

Questions?  Please call:

Paul O'Rourke (850) 414-4732
Michael Dancy (850) 414-4717
Robert Hanson (850) 414-4722 
A note concerning 

Scale is an important factor in data usage. Certain scale datasets are not suitable 
for some project, analysis, or modeling purposes. Please be sure you are using the 
best available data. 

1:24000 scale datasets are recommended for projects that are at the county level. 
1:24000 data should NOT be used for high accuracy base mapping such as property 
parcel boundaries. 

1:100000 scale datasets are recommended for projects that are at the multi-county 
or regional level. 

1:250000 scale datasets are recommended for projects that are at the regional or 
state level or larger. 

Vector datasets with no defined scale or accuracy should be considered suspect. 
Make sure you are familiar with your data before using it for projects or analyses. 
Every effort has been made to supply the user with data documentation. For 
additional information, see the References section and the Data Source Contact 
section of this documentation. For more information regarding scale and accuracy, 
see our web pages at:

http://www.geoplan.ufl.edu/education.html

FGDL QUALITY ASSURANCE STATUS:

-Changed original file name from "inshoulder" to "inshou"
-Changed DESCRIPTION item to DESCRIPT
-Upcased all character records

REFERENCES:

FDOT

DATA LINEAGE SUMMARY:

This data was recieved by the GeoPlan Center from URS Corporation in 2001.  
The name was changed from "inshoulder" to "inshou", DESCRIPT item was added 
based on the existing item DESCRIPTION, and lowercase characters within the 
attribute table were upcased. 
The dataset's prior history from URS is as follows:
The FDOT RCI database is updated monthly. This version of the database was 
downloaded from the FDOT ftp site (ftp://ftp.dot.state.fl.us) in October, 2001. The 
download contains the FDOT basemap route coverage and all associated relational 
tables. These tables can be used in conjunction with the basemap using dynamic 
segmentation.

Using ArcView software, version 3.2a, dynamic segmentation was performed using the 
relational table named "INSHOULDER"  to create a shapefile of inside shoulder 
locations on the FDOT roads.

MAP PROJECTION PARAMETERS:

  Projection                           ALBERS
  Units                                METERS
  Datum                                HPGN
  Spheroid                             GRS1980
  1st standard parallel                24   0  0.000
  2nd standard parallel                31  30  0.000
  Central meridian                    -84   0  0.000
  Latitude of projection's origin      24   0  0.000 
  False easting (meters)               400000.00000
  False northing (meters)              0.00000

DATA SOURCES CONTACT(S):

Name:      Florida Department of Transportation, Transportation Statistics Office 	
Abbr.name: FDOT, Transtat Office 		
Address:   605 Suwannee St. MS27 Tallahassee, FL 32399			
Phone: 	   (850) 488-4111 x-119					
Web site:  http://www.dot.state.fl.us	               

FGDL CONTACT:

Name:                    Florida Geographic Data Library
Abbr. Name:              FGDL
Address:                 Florida Geographic Data Library
                         431 Architecture
                         PO Box 115706
                         Gainesville, FL  32611-5706
Web site:                http://www.fgdl.org
Contact FGDL:
      Technical Support:                http://www.fgdl.org/fgdlfeed.html
      FGDL Frequently Asked Questions:  http://www.fgdl.org/fgdlfaq.html
      FGDL Mailing Lists:               http://www.fgdl.org/fgdl-l.html
      For FGDL Software:                http://www.fgdl.org/software.html